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首页> 外文期刊>Journal of combinatorial chemistry >2D and 3D Spatially Addressd Arrays for High-Throughput Automated Synthesis of Combinatorial Libraries
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2D and 3D Spatially Addressd Arrays for High-Throughput Automated Synthesis of Combinatorial Libraries

机译:高通量自动合成组合库的2D和3D空间寻址阵列

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One of the key elements in the drug discovery process is the use of automation to synthesize libraries of compounds for biological screening. The "split-and-mix" approaches in combinatorial chemistry have been recognized as extremely powerful techniques to access large numbers of compounds, while requiring only few reaction steps. However, the need for effective encoding/deconvolution strategies and demands for larger amounts of compunds have somewhat limited the use of these techniques in the pharmaceutical industry. In this paper, we describe a concept of directed sort and combine synthesis with spatially arranged arrays of macroscopic supports. Such a concept attermpts to balance the number of reaction steps, the confidence in compound identity, and the quantity of synthesized compounds. Using three-dimensional arrays of frames each containing a two-dimensional array of macroscopic solid supports, we have conceptualized and developed a modular semiautomated system with a capacity of up to 100 000 compounds per batch. Modularity of this system enables flexibility either to produce large diverse combinatorial libraries or to synthesize more focused smaller libraries, both as single compounds in 12-15 μmol quantities. This method using sortable and spatially addressed arrays is exemplified by the synthesis of a 15 360 compound library.
机译:药物发现过程中的关键要素之一是使用自动化方法合成用于生物学筛选的化合物库。组合化学中的“拆分和混合”方法已被公认为是访问大量化合物的极其强大的技术,而只需很少的反应步骤。然而,对有效编码/反卷积策略的需求以及对大量化合物的需求在一定程度上限制了这些技术在制药工业中的使用。在本文中,我们描述了定向排序的概念,并将合成与宏观支持的空间排列数组结合在一起。这样的概念试图平衡反应步骤的数量,对化合物同一性的置信度以及合成化合物的数量。我们使用框架的三维阵列,每个三维阵列包含宏观固体支持物的二维阵列,我们已经概念化并开发了一种模块化的半自动化系统,每批次最多可容纳10万种化合物。该系统的模块化特性使它能够灵活地生成大型多样的组合库,或者以12-15μmol量的单一化合物形式合成更集中的较小的库。使用15360化合物库的合成举例说明了使用可排序和空间寻址数组的这种方法。

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